{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H1>NetCon and Exp2Syn</H1>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from neuron import h"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# function to create a simple cell\n",
      "def simple_cell(cellname):\n",
      "    \"\"\" \n",
      "    creates a single compartment\n",
      "    with L=diam = 30 \u00b5m\n",
      "    and default HH and pasive conductances\n",
      "    \"\"\"\n",
      "    cell = h.Section(name=cellname)\n",
      "    cell.diam = cell.L = 30.\n",
      "    cell.insert('hh')\n",
      "    cell.insert('pas')\n",
      "    return(cell)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H2>Prepare presynaptic cell</H2>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "presynaptic=simple_cell('pre')\n",
      "presynaptic.name()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "'pre'"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# insert stimulation\n",
      "stim1 = h.IClamp(0.5, sec=presynaptic)\n",
      "stim1.delay = 100\n",
      "stim1.dur = 100\n",
      "stim1.amp = 1.2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# prepare simulation\n",
      "h.load_file('stdrun.hoc')\n",
      "v_pre, time = h.Vector(), h.Vector()\n",
      "v_pre.record( presynaptic(0.5)._ref_v )\n",
      "time.record(h._ref_t)\n",
      "h.tstop = 300\n",
      "\n",
      "# run simulation\n",
      "h.run()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "0.0"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(time, v_pre);\n",
      "plt.xlabel('Time (ms)');\n",
      "plt.ylabel('Voltage (mV)');"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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YAReNSQjBwcHIysrCjRs30KVLF8VxZnRXr169zOojYV6oKE8QtkGTBKWgoABpaWn46aef\nFMN0fXx8MHHiRERFRSEoKIgXJw2xadMmFBQUYNSoUVi+fDkEAoHWNZGRkUhMTERycjKWLFmiOJ6c\nnAw3NzdERESY3U/CcpCgEIR1MFlQbt26hdTUVKSlpeH27dsAAIFAgMGDByMqKgpDhw612JyUkpIS\nHD16FK6urggLC0NaWprWNWFhYejUqRMmTZqEAwcOoL6+HmFhYcjOzkZWVhbmz5/PqrhO2C6U8iII\n24CVoFRWVuLkyZNITU1FUVGRoi4iFArx/PPPY9y4cVapQ1y8eBEA0NDQgISEBK3zAoEAH3zwAfz9\n/bFw4UL4+vriyJEjyMzMRGBgIOLj4xEdHW1ptwkzQxEKQVgHVoIydepUSB5/Sl1cXDB8+HBERUXh\nqaeeMqtzxpg4cSImTpzI6lonJyfExcUhLi7OzF4RloZqKARhG7ASFIlEgm7dumHcuHEYM2YMWrVq\nZW6/CII1lPIiCNuAlaB88cUX6N27t7l9IQheoAiFIKwDK0ExJiYNDQ0Gz1tjCRai+UApL4KwDTgP\nG963bx8OHz6sGOllCEvMlCeaL5TyIgjbgJOgHDp0iPaGJ2wWilAIwjpwEpSDBw9CIBDgjTfewIgR\nI+Dt7a1zQiFBWAJKeRGEbcBJUG7fvo0nn3wSL7zwAt/+EESToZQXQVgHTotD+vr6clrynSDMAUUo\nBGEbcFKFMWPG4PLly7h16xbf/hCEyXAtyn/6KRAVBRQW8u8TQTRHOKW84uLicPnyZbzxxhuIi4tD\njx49DK6H1alTJ84OEoSpsIlQqquBpUvlr0UigAYiEkTT4SQozs7OCAoKUuzMCEBnUV4mk0EgENCw\nYcKscEl5qe76fPIkv/4QRHOFk6AkJibi0KFDAOR7shuKTmj0F2FuaB4KQdgGnAQlLS0NLi4uWLly\nJYYNG8a3TwTRJNhEKFKp+f0giOYGp6J8RUUFnnrqKRITwibgkvIiQSEI/uEkKEKhEGKxmG9fCIIX\n2KS8SFAIgn84CUpUVBRyc3NRSOMtCRvAUhGKRAJMnw489xzw6JHp9gTh6HCqoTCCEh8fj3HjxqF3\n797w9vbWu/XvoEGDmuQkQRjCUoKyb5/8HwAsWQJs387Ot6NHAaEQGDCA/b0qK4FWrQBTxrSIxYCr\nK/vrAaChATBlMXDm70bzmgldcBKUSZMmKV4fOHAABw4c0HstDRsmLA2blBeX2fRXrihfZ2ayszl8\nGJg4EXBzA65dAwIDjdvs2we89BIwZgyQksJOVDZsAN59F1i5Elixgp1vc+YAe/cCu3YBU6cav76x\nERgyBPjjD+DUKSAsjN19iOYDJ0F54oknWF9Lw4YJc2OpCEU1AGc7NHnBAvlPkQg4cABYuNC4zfTp\n8p/Hjskjldatjdu89Zb853vvsRMUsRjYsUP+OjZW+2+oizNngJwc+etFi4CsLOM2RPOCk6B89tln\nfPthEcrLy7F9+3acP38eIpEIffr0wauvvooePXpY2zWiCXCZh9JUQWEb4ahexyUqUp2AySdc5urc\nvat8feYMf74QjkOzyYRWV1djyZIl+OWXXzBx4kS8/PLLuH37NhYvXoySkhJru0fwiCUiFLbioFqf\nMLKxqU7MJShcxM3NjX8/CMeClaCsX78elZWVTb7ZvXv3sHbt2ia/DxeSk5Nx8+ZNfPzxx5gzZw5i\nYmLw+eefQyAQ4KuvvrKKTwQ/WCrl5aISz9u7oDS1/QShC1aCUlRUhFmzZmH37t2oq6sz+SYVFRVI\nTEzE7NmzcfXqVZPt+SAtLQ09e/ZEv379FMf8/PwwYsQIZGdno7q62ip+EfxjiZQX25SRaifMRVDM\ntYwMlwiFRnYRxmD1nWPLli3Ytm0bvv76a3z33XcYOXIkhg0bhieeeAIeHh46be7fv4+8vDxkZGTg\n7NmzkEqliImJwf/93//x2gA2VFdX49atW4iOjtY6FxwcjJSUFFy5cgVhNGzFLrHlorzqmBQ2hW9N\nuAiKRKLuqy64tJ8EhTAGK0FxdXXF66+/jjFjxmDbtm04cuQIjhw5AoFAAKFQCKFQCC8vL0ilUlRW\nVuLevXsoKyuD7PEnKDw8HPPmzbNa8bu8vBwA4O/vr3XOz88PAFBWVmZRnwj+sJSgcOlQVW0sJSgN\nDcYFhUuEQgM2CWOYlBXt1asX/v3vf6OgoABHjx5FTk4OSktLUVpaqnWtr68vhg0bhqioKAQHB/Pm\nMBdqa2sBAO7u7lrnmGP15kpWExbHXPNQuEQb1ohQxGJAx391NbgIKhf/ieYFpzJbnz590KdPHwBA\naWkp7t69i4cPH0IikaBVq1bo1KkThEIhr442BZmBTwJzztT5MvHx8QaX7WeIjY1FbGysSe9NmIal\nIpSmioMlU158XMOHDWF+kpKSkJSUZPQ6PgZWGaPJ4zbat2+P9u3b8+GL2WDqPCKRSOscc8zLy8uk\n90xISEBoaGjTnSN4x5YExRopL3MNSqAFNW0Ttl9a8/Pz0bdvX7P60izKbEy0dO/ePa1zzDFd9RXC\nPrDUxEZ7SXlRhEJYi2YhKF5eXujQoQOKioq0zhUVFcHZ2Rk9e/a0gmcEH1gq5aVqw0VQuEARCmFP\nNAtBAYCRI0eiqKgIly9fVhy7d+8eMjIyMGzYMJ0Fe8I+4dKhsuksmyooFKEQjk6zmfs6bdo0nDhx\nAsuXL8e0adPg4eGB5ORkuLi44JVXXrG2e0QT4CNCkUiMDwtWfV9bFhRzjXKjCIUwRrMRFG9vb2zc\nuBFffvkl9u7dCwAIDQ3F/Pnz0bFjRyt7RzQFPgSlsdH4viC2GqHoEkdTbdhAEQphjGYjKAAQEBCA\n999/39puEGaGyzd0U21sWVAoQiGsBW81FIlEonNYLkGYG75SXqbYcBEULp04F3Hg0n427aEIhTBG\nkyKUoqIiJCUlITc3Fw8ePMDo0aPxz3/+E+vWrUP79u0RFxend1tggjAXXFNepryvLQkKHxGKRGJ8\nNWGKUAhjcBaUAwcO4IsvvoBUx/+yoqIiHD9+HAUFBfj4449JVAizwsc8FEtEKJYqsHMVVGOCQhEK\nYQxOKa/c3Fxs3rwZrVq1Qnx8PHbv3q12/h//+Ac6dOiAc+fO4dixY7w4ShD64Ksob4ymRiiWmlNi\nrhoSRSiEMTgJyp49e+Dk5IT169cjOjoaAQEBaufDwsKwYcMGuLi44OjRo7w4ShBsMZegOHINhc1e\nLRShEMbgJCgFBQXo168funfvrveagIAA9O/fH7du3eLsHEGwwVIpL1uNUJo6Yk3X77qgCIUwBidB\nEYlE8PT0NHqdi4sLpx0eCcIULJXyskYNxRIj1tjaUIRCGIOToAiFQhQXF6PRwCekoaEBf/zxh1Y6\njCDMDZfO0RIRiqVSXlRDIawFJ0EZPnw47t27hy1btugc5SWVSrF161ZUVFRg6NChTXaSIAzBR8rL\nEisUW6oob4lBCQShC07Dhl988UWcOnUKBw8eRG5urmIv9r/++gvbt2/HuXPncPXqVbRt2xbTp0/n\n1WGCMIYlUl5ssUTKi2oohK3ASVC8vb2RkJCATz75BJcvX8aNGzcAAIWFhSgsLAQA9OjRAytXrmS1\nqyFBNAVrFOXZompjqYmNFKEQ1oLzxMaAgABs3LgRBQUFuHjxIsrLyyGRSODn54ewsDBF1EIQ5sYa\nRXm2qNrQKC/C0Wny4pCq+8sThC1gS6OcmioolhrlxUWEZLKmbyBGOBbNZoMtwnGx5aK8vUQo5kqt\nEc0LThHKqFGjIGDx1cTZ2Rne3t7o0KEDIiIiEBMTAydjuxgRhIlYY+kVtqjex5ZrKFyL/8bW/yKa\nF5z+O7Rv3x51dXV4+PAhAEAgEKB169aQyWSorKyE7PEnvLGxEQ8fPsTDhw+Rn5+PnJwcrFu3jpUY\nEQRXzDUPxRoRiqVGeVGEQvABJ0HZvHkzXn/9dQDAggULEBERodiTXSwW45dffsEXX3wBNzc3/Otf\n/0JVVRW2bt2K8+fP48cff8QLL7zAXwuIZo+lUl6WiFCssXIy2/twESGiecEp//TNN9+grKwM69ev\nx9ixYxViAgCurq6IiIhAQkICysrKsGfPHvTs2RMff/wxPD09kZqaypvzBKELSxWy2WBqhMJHbceS\nS94ThCqcBOXMmTPo37+/wcUhO3TogLCwMJw+fRoA4OHhgdDQUJSUlHDzlCD04Eg1FEvVQywlQkTz\nglPKq66uDm5ubkavc3Z2RnV1teJ3T09P1NfXc7mlTrKysrB3715cuXIFgHwy5cyZM/H000+rXScW\ni/Hdd98hNTUVFRUVCAoKQlxcHCIjI3nzhbAe1hrlJZUCxsaYmBqhWKoewkcNhSIUQhNOEUqnTp2Q\nm5uL+/fv673mwYMHyMvLQ2BgoOLYnTt34Ofnx+WWWvz0009YuXIlRCIRXnnlFcybNw/V1dV49913\ncerUKbVr16xZg127dmHw4MFYtGgRvLy8sHr1aqSlpfHiC2FbWGqUk6n3sZTQWXKUF0GowklQoqOj\nUVtbi6VLl+K3337TOl9QUIC33noLtbW1GDt2LADg9OnTKCoqQmhoaNM8hnzxyY0bN6Jz587YunUr\npk6dimnTpmHr1q0QCoXYsmWLYqRZXl4eMjIyMG/ePLzxxhuIjo7Ghg0b0Lt3b2zduhVisbjJ/hDW\nxVoRiqmdsC2nr2iUF8EHnFJe0dHRyM3NxU8//YTFixfDx8cH7dq1g0wmw927d/Ho0SMAwNNPP43Y\n2FiUl5fj/fffh0AgwJQpU5rs9LVr11BZWYmpU6eq7Vfv7u6O8PBw7N+/H6WlpQgMDERaWhqcnJww\nadIkxXXOzs6YPHkyPvnkE1y4cAHPPPNMk30irAcfNRRLLNdiS0JHEQphDjgJipOTE9577z0MGjQI\nycnJuHbtmmJOCgB07NgRMTExeOGFF+Dk5ITKykqEhobixRdfRK9evZrsdJcuXbBjxw54eXlpnWP8\nYCZQFhYWIjAwEN7e3mrXBQcHAwCKiopIUBwMW12h15ZHeVENheADzvNcBQIBxo0bh3HjxuHBgwco\nKyuDRCKBv78//P391a7t0aMHNm3a1GRnGVxcXNCxY0et42VlZTh9+jTatWsHoVAIACgvL9c5Go2p\n5dy9e5c3vwjrYK2Ul6k2ltj4i60NjfIizAEvCye0adMGbdq04eOtkJiYiIaGBr3nW7ZsiRkzZmgd\nF4lE+PDDD9HQ0IDZs2crjtfW1qrNk2FgjvE56oywDZp7Ud6WJkMSzQvOgiKTyVBQUICysjI0NDQo\niuDMObFYjAcPHiAnJwebN29m/b5JSUkQiURq76eKUCjUEhSRSIT33nsP+fn5GDVqFKKiotR80ec/\nAM5ri8XHx7Pa6yU2NhaxsbGc7kGww1rL15sjQrHlegjVUGyTpKQkJCUlGb2usrLS7L5wEpSamhos\nW7YMv//+O9/+ICUlxaTrq6qq8O677yI/Px9DhgzBP//5T7Xznp6eEIlEWnZMZOLp6cnJz4SEBF5G\nrBFNx1obbDlShEKjvOwXtl9a8/Pz0bdvX7P6wklQdu/ejd9//x3u7u7o378/ysrKcOPGDYwcORLV\n1dXIz89HTU0Nnn32WUycOJFvnxWUl5dj2bJl+PPPP/Hss8/inXfeURv1Bcg3AisvL9eyZebQaNZ7\nCPtHKjW+V4c10kS21NHT0iuEOeC89IpAIMCmTZuwZs0azJ49GzKZDNOnT8fatWuxe/duDBgwALm5\nuejSpQvPLst58OAB4uPj8eeff2LKlClYvny5lpgAQEhICG7duoXa2lq140VFRQDAy6gzwrroymoa\nW3fLGrPLbSl9RYtDEuaAk6DcuXMHoaGhitFTzBDc/Px8API955cvX47Kykrs3buXJ1fV+fjjj3Hr\n1i28+OKLWLRokd7rRo4cCalUiv379yuOSSQSHDx4EH5+fhgwYIBZ/COsi7HOzhodty1NOKSUF2EO\nOKW8mL3jGYRCIVxcXHDjxg3FsTZt2qBv3744ffo0XnnllSY7qkpOTg4uXLgAHx8fdOnSRecKxuHh\n4fD29saAAQMQHh6OxMREVFRUoFu3bkhLS0NRURFWrFihM6oh7AtdEYqxzs6RU17mGgJMEQphDE6C\n0rp1a7UaDHx8AAAgAElEQVQRAwKBAEKhENevX1e7rmXLligoKGiahzq4cOECAODRo0dYu3at1nmB\nQICvvvpKMZlx5cqVSExMRHp6Oo4ePYqgoCCsXr0aw4YN4903wvLoEhRbjFBsaZSXpYSLaF5wEpTQ\n0FCcOXMGf/75Jzp37gxAPnv93LlzqK6uVnTk169fR8uWLfnz9jGvvvoqXn31VdbXu7m5YcGCBViw\nYAHvvhC2iTkilKYKikxmfIViWx6xRSkvwhicaigTJ05EY2MjXn/9dcX451GjRkEsFmPlypU4ffo0\n1q1bh5s3b6Jnz568OkwQmnBJeVmqkG1qJ2wpoaN5KIQ54BShhIWF4bXXXsP27dtRWFgIABg+fDh6\n9+6N3Nxc5Obmyt/cxQVz587lzVmC0IW1Ul5c02QtWvB7D1ueu0I0LzjPlI+NjcWoUaPw4MEDAPIV\nfD/99FMkJSXht99+Q+vWrTF58mTFCDCCMBeWKspbIqqxp6I8pbwITZq0lpefn5/aaC93d3fMmjVL\n8Xt9fT2uX7+Orl27NuU2BGEQa43yMmYjk5m+LIwtr8tFEQphDE41lFGjRmHNmjVGr1uzZg3efPNN\nLrcgCNbomsRoC6O8LJWKs+Ul74nmBbeVEVlQU1ODmzdv0mq+hNnRJSi2kPLiQ+gsVWCnUV4EH7BK\nef39739XLFXCkJqaanRPdplMRqO8CLPDxygvc0QoXITOWqPPKOVF8AGrCGXRokWQyWSKfwyqxzT/\nCQQCdO7cGW+88YbZnCcIwHKRQFML7FxsbGlPeUp5EcZgFaH06dNHbXmTMWPGKFb31QctaUJYCmul\nvEy9h7n8oomNhK3AepSXqkAsW7YMHTp0INEgbAI+RnlZKuVlKxEKFeUJc8Bp2PDzzz/Ptx8EwRlH\nTnnZ0pwSqqEQxmAlKB9++CEEhnYrMsKKFSs42xKEMWy1KK/rPU2NnOx9/S+iecFKUE6dOtWkm5Cg\nEObEVofn6jrPVYT4FhQqyhPmgJWgLFu2jPMNmhLZEAQbbLX4zUVQ9ImjKet/2dLseqJ5wUpQqGZC\n2DLWKsobs2loMN0vXTamCpctrf9FNC+atJYXAIhEIhQWFqKiogKurq5o06YNevbsiRaGvlIRBI84\nUspL13ljHTcXQbHUBEqiecFZUBobG/HNN9/gwIEDEIlEauc8PT0RHR2Nv/3tb3BxabJmEYRB+Eh5\nmaMoz0VQuEQomjZs2qL5nlxsSFAITTj19lKpFMuXL0dOTg4EAgF69uyJ9u3bQyaT4fbt27h69Sr2\n7duH69evY926dXz7TBBqcEl5WSJNxEe0weU+bNqiKUJcbCjlRWjCSVCOHDmCnJwc9OjRAytWrEBQ\nUJDa+ZKSEnz44YfIycnBsWPHqAZDmBUuKS9LpIn4ilBMrbtYSlAoQiE04bTa8LFjx+Dm5oY1a9Zo\niQkABAUFYe3atXBzc8PRo0eb7CQbrl27hrFjx+KLL77QOicWi5GYmIiXXnoJzz//PObPn4+MjAyL\n+EWYHy4RCpdv23wIijmK8paKNkhQCGNwEpQbN24gLCxMbXMtTfz8/NC/f3/cuHGDq2+saWxsxJo1\na9DY2KhzmPKaNWuwa9cuDB48GIsWLYKXlxdWr15tdLVkwj7gUkMxtXOUyUyPavgYscXFhlJehLXg\nlPKSSCSsRnG5uLhoFezNwY4dO/Dnn3/qPJeXl4eMjAy8/PLLmDlzJgBg3Lhx+Mc//oGtW7ciIiIC\nrq6uZveRMB98pLzMMQTYnlJeFKEQfMApQunYsSPy8vJQW1ur95ra2lpcvnwZHTp04OwcGwoLC7F7\n927MmzdP5/m0tDQ4OTlh0qRJimPOzs6YPHkyHjx4gAsXLpjVP8L88JHyslS04UhFeRIUQhNOgvLs\ns8+iqqoKq1atQnV1tdb56upqfPDBB6iqqsLIkSOb7KQ+xGIx1q5di6FDh+q9T2FhIQIDA+Ht7a12\nPDg4GAC0Ng4j7A9LFOXF4qbfg42NpYYNU8qLMAecUl4xMTE4efIkzp8/j+nTp+Opp56CUCgEAJSW\nluLixYuora1Ft27dMHXqVF4dVuXrr7/Go0eP8Oabb6Kurk7nNeXl5ejevbvWcab+c/fuXbP5R1gG\nPmoolpjBztXGVN+kUuMLSprafuY9VaEIhdCEk6C4uroiISEBn376KTIzM5GVlaV1zfDhwxEfHw93\nd3eT3jsxMRENuj69j2nZsiVmzJiBS5cuITk5Ge+99x58fHz0Ckptba1OH5hjtOe9/WOJeShcIhRr\nLb3C3McUQTFH5EQ0P1gJyhdffIGoqCh07dpVcaxly5ZYtWoV7ty5g0uXLuH+/fsAgLZt26Jfv36K\niMVUkpKSIBKJ1LYaVkUoFGLy5MlYt24dIiIiMGLECIPvp+99mONOhj51BoiPj4ePj4/R62JjYxEb\nG8vpHgQ7uKS8TP2GbqmUF59DjQ2Nm+FDUCjlZRskJSUhKSnJ6HWVlZVm94WVoCQnJ2P//v3o3bs3\noqKiMGrUKMU3fKFQyFk8dJGSkmL0ms8++wyPHj3CvHnzFH+kqqoqAPK1xSorK+Hp6YkWLVrA09NT\n50gzJjLx9PTk5GdCQgJCQ0M52RL8wiXlZYkhwLqCX1tJrVki5UdYBrZfWvPz89G3b1+z+sJKUKKj\no3Hq1CkUFBSgoKAAW7ZswciRIxEdHY2QkBCzOqiL7Oxs1NTUYO7cuVrnDh8+jMOHD+Ptt9/Gc889\nh4CAAJSXl2tdx0RU/v7+5naXMDOWGOWlK0Ixdg9dgsJFhMxhQykvwhywEpT4+HgsWrQIZ86cwfHj\nx5GTk4MjR44gJSUFXbt2RXR0NEaPHq01kspcLF++HGKNT3hFRQU++eQTREREYMKECejSpQsA+Wiu\nY8eOoba2Vi0aYUZ39erVyyI+E+bDVlNeusp6xmx0jcQ35puu+5gqdsb80jWdjFJehCasi/Kurq4Y\nOXIkRo4ciYqKCqSmpuL48eO4du0aPv/8c2zbtg0RERGIiopC//79zemzzrDtzp07AIB27dphwIAB\niuOjRo1CSkoK9u/fr5jYKJFIcPDgQfj5+aldS9gnXOoOpnaolkp58SVCptoY86umxvR7EM0PTqO8\nfH19MX36dEyfPh1FRUU4ceIE0tPTkZqaitTUVHTs2BFRUVF4/vnn0bp1a759NokBAwYgPDwciYmJ\nqKioQLdu3ZCWloaioiKsWLECzs7OVvWPaDpcCsaaHbc5OnpbtWloMD3lxUW0iOZHkzcrCQkJQUhI\nCF577TX8/PPPOHHiBLKzs/HVV1/hm2++QXh4OFavXs2Hr5xZuXIlEhMTkZ6ejqNHjyIoKAirV6/G\nsGHDrOoXwQ+mFqUbGkxf6FHH/F2LiYMxsTO1s+frHpTyIjThbfcrFxcXDB8+HMOHD0ddXR3+97//\nYe/evTrnqJgDoVCIkydP6jzn5uaGBQsWYMGCBRbxhbAsTOcpECgL9IY6O12do0xmeDIgl5QPl5QX\nl0jAVOHiI0XGxoZofvC6nWJJSQnS09ORmZmpWKwxICCAz1sQhBZM+sbdXdm5mvoNHTA8GVCXoNhr\nmowEhTAXTRaUBw8e4OTJk0hNTUVxcbH8TV1cMGLECIwfP56K3oTZYTo2VUEx1NnrExRDkwG5pLwe\nT41Sg0vx25CNVGp6Z88lfcVFUInmBydBqa+vx+nTp5GamoqLFy9C8vh/VteuXREVFYUxY8agVatW\nvDpKEPpgOk83N+UxU1Nexmy4pLwePDC/TVWV6RM7Hz7Ufb1MJk8b6kLXJGuKUAhNWAuKVCrF+fPn\nkZqairNnzyrWzvLw8MCoUaMQFRWF3r17m81RgtCHaoSieUwXusTBmA2XDlVXx23MpqLCNBtd1xuz\neTynVwuJBHDR0yOY6hfRPGElKJs3b8apU6fwQOXrU2hoKMaPH48RI0aYvAAkQfCJag2FwdA3dNUo\nwMlJ+Q3fUAeputhCy5byyIBttOHlpRQxQ341NChTa61bKwXJkI1qR+/rq/ydrQj5+CjF0pCgqIoQ\ncx9KeRGasBKU/fv3AwBat26NsWPHIioqSude8gRhDUxNeal2qO3aAY/nxBq0YQSlRQvAz4+doDD3\nadtWKSiGbFSFrl07paCwFYd27dgJiqo4tGunFJTGRvW/oSGbigqKUAhtWAnK4MGDERUVhaFDh9JE\nQMLmMDXlpU9Q2EQobdsqC/eGrm9sVL5vp04As0O1IZvSUuVroRB4PMbFoA1zD8amsNC4TVmZus0f\nfxi3Ydrv5iaPaoxdTzRPWK3dvnbtWkRERJCYEDYJk/JiG6FoRgJsbJhO2N9fmRYydH1pqTKVprLr\ng0GbkhLl627d2NkwQqVpY6izV7V5vOSd0fvcuCH/GRTErv1E84TbZiAEYUPoilCMdfYMqjsv6OuE\nGxqUnX3nzgDzvcpQp/3XX8rXqp02245edZNRvm0YcQgIkNeDjNnIZEqbLl2UgkIRCqEJCQph18hk\nSvFgm/JiOuEWLYCOHY3blJQo79GjB7sOlUkjAeodvSGhu3qVu42HB9C+vXEbmQy4dk3+WlUcDdmU\nlipn/ZOgEIYgQSHsGtVOjW3KixGUTp3UJzLqs2FqGYC8o2fToeblKV8/+aRufzXJzZX/9PAAevY0\nbiOTKe/Tt696W/TZ3L4N3LuntFEd1aXPRrUtoaFKEaKUF6EJCQph15gqKFKpMn3TuTO7DvXXX5Wv\n+/UzTVDc3QHVLXcMiQMjKE88od4WfTZ//aUcYPDkk6a3ZcAAdjYXLui2oQiF0IQEhbBrVDu1Fi2M\n1zdu3FDO9ejdW71D1SdC587Jfzo5setQ6+qAn3+Wv+7fH3B1Vc5A13ePy5eVw4QHDGCXisrIUL7W\ntNHn25kz+m303YexEQiAsDASFEI/JCiEXaO6r4ezs/F0DBMFAPLO0VgnLJEoxaFPH8Db23iHmp6u\nXC9s/Hilb4ZsDh1Svh43jl3koGrz/PPsbA4flv/08QEGDjRuU10NMIt4P/20vIhv7G8skwHbtwMH\nDug+TzguJCiEXaMZoRjr7FVTPqrftvXZZGcraw7PPiv/aWzYrGpH/8IL6jbGxMHDQ34fY36JRMCx\nY/LX/fuzS9/98Qfw++/y11FR6n8vfTYnTii3/504Ub0tUqnudcT+/W9g/nxgyhT1gQaE40OCQtg1\nqhGKaspLX2eflib/6eEhr1UYS/kw3+gBpTgYijakUuDHH+WvO3WSd/aAYRG6fRvIyZG/HjMG8PQ0\n7tepU8rU3YQJ6vfQZ6MqdIyNsfv88IO2jbH7LFmifP3bb9rnCceFBIWwa0wRlIoKZcc9YoS88G3s\nGzrTCfv4ABER8teGoo1ff1XOc3nhBWXtxJAIMQIE6O60DfnFxaZFC3lazZhNYyNw5Ij8dY8e8pqT\nalsA7b+z5iKS+pZyIRwTEhTCrtEUFEOdfVqackfH556T/zT0bfvqVaCgQP563DjlsFxD99AV0Riz\nYTp6gQCIjtb2S9NGJlPaBAbKi+vGbO7dA5jNU0eMUC6fYsjm7FnlGl4TJijF0ZCNqjgC2nvXE44N\nCQph15gSoZw4oXw9dqz8p6GiPBtxYARK08bbGxg5Unlcn181Nco03NNPy2eva/qlaXPxInDrltIv\nZpdJQx19Soqy3sFENMbuoxoFMfUTY/d5vI6sArEYRDOC1y2ALU1NTQ2+/fZbZGRkoKqqCh06dMC0\nadMwluktHiMWi/Hdd98hNTUVFRUVCAoKQlxcHCIjI63kOcEXbAVFJlMKSqdOyrkhhjpHpkN1dlam\niDRtpFLlPUtKlKPIxo5VT/foi1BSU5VFb9WOno1fmjaGxFFXLcTQfWQypY2vLzBkiO77qP6dq6uB\n48fV70uC0ryw2whFLBYjPj4eP/zwA5599lm89tpr8Pb2xtq1a3Hw4EG1a9esWYNdu3Zh8ODBWLRo\nEby8vLB69WqkMV8NCbuF7SivwkLl+lpjx2rXNgD1zvHhQ+D0afnriAigTRvlOX2dsGq6RzWiUbUx\nFAWYKiiensCoUcZt6uuVHX1YmHyBR102qr79/jtw5Yr8dXS0+nX67nP8uHKJFgYSlOaF3UYo+/bt\nwx9//IFVq1Yh4nG1NDo6GvPnz8e3336LSZMmAQDy8vKQkZGBl19+GTNnzgQAjBs3Dv/4xz+wdetW\nREREwNXV1WrtIJqGaoTi4qI/QtGV7mJsGFQ7x2PHlL8zdQ1dNqr3Ua2FMPNPGHQV5SUSpQh16yaf\n56J5veY9/vpLnvIC5HUg1fXL9LXl1CnlfiyqoqV5H1Ubfek+Q/dRFUcGqqE0L+w2QklJSUFoaKhC\nTADAyckJ8+fPR0xMDKofj6lMS0uDk5OTQmAAwNnZGZMnT8aDBw9wQXVdCcLuYJvyYgRFIABGj1Ye\n1ycOhqINXZ1wTQ3w00/y1888I1/mXhVdkVNOjnKfkeho9f3c9XXazKgrXX7pa4uqjaagGIu2WrRQ\nDmBg0CV2jY3aBXmAIpTmhl0Kyt27d3Hnzh0MHDhQcayurg4ymQyDBw/GrFmz4O3tDQAoLCxEYGCg\n4neG4OBgAEBRUZHlHCd4h80oL5FI2dkPHCivCTDoEofGRnkRGwBCQtQXagR0d8KnTilrIZoRjaqN\nvo5e00Zf5KBqExVl3C+ZTNnRt2+vvlCl5n0Y3+7fl4/wAuQjwlSXuNd3n7NnlUOGBw9WnidBaV7Y\npaD89TgZ7u/vj507d2LKlCkYP348Jk+ejF27dqldW15eDn/Nr4sA/Pz8AMjFibBf2EQoP/8M1NbK\nX2uM19DZOf78s3ITLkPioGrDCBCg3dEDulNeTEfv5aWc48Lg5KS9/lddnXxZFwAYNEg5IsyQX/n5\nytWVx49XjggzZHPsmHJEGNv2qxb9Y2OVrynl1bywuRpKYmIiGgz8L2zZsiXaP974Yc+ePRCJRJg7\ndy58fHxw9OhRfPPNN6ipqcGrr74KAKitrYW7aqL5Mcyxes0qImFX6BMU1Y47NVX5eswYdXtd39BV\nxUEzrQRod6gymdKmfXvl7HhdNoxft24pR4SNGaN7AqCLi7x9jM1PP2mvEaavLYyNahpKl40ucTBm\no+tvxghd69byqIaBIpTmhc0JSlJSEkQiEWSaA/wfIxQKMW/ePADAvXv38O2336Ld431cIyMjsXjx\nYiQlJSEmJgZt27bV+z7McSfNr2wsiY+Phw8zO8wAsbGxiFX9ykbwir5RXqoRClM/8fICwsPV7XV1\nqMzoLk9P9eGy+mwKC5VRQFSUei2EQTNyUhU5XZ02c5+GBvY2utrCdPQtWqjXjjT9YnyTyZSLQYaE\nqG/0pe8+lZXy1ZIBYPhw+bI2DCQo5icpKQlJSUlGr6usrDS7LzYnKCmqXw/1kJmZCQB4+umnFWLC\nEBUVhcuXL+PSpUsYNWoUPDw8IGKS2yowkYmnpycnPxMSEhAaGsrJluAPYymvigrlgpAjRsiXkldF\ns5AtEgHnz8t/f/pp9U2r9Nk8/u8IQDsC0rRRrTkwqE6AVEUz2mKWkW/VSrsWoulXY6P83y+/yH9/\n6in5ZEtjNlevAmVl8t8103D6bH75RZkiGzpU/W9MgmJ+2H5pzc/PR9++fc3qi13WUJiaiK9qdfUx\nrVu3BiCf9AjII5pyZiiNCvcfrymhq75C2A+aw4Z1ddxMkKo6Z4NBM03066/K4vrQobrvqdmhqu4x\nMmyYYRtG6BibgAD5kGFDNo2N8hoQMyAxPFzdb31+Xb6sXECSS1v02WhGNcySLoC8/aqCQjWU5oVd\nCkrXrl3h6uqKa8zm2CqUPl6ZTygUApCP5rp16xZqmarsY5jRXb1Ut9Mj7A5jEYpqJKCrg2xqh9rY\nqLxH585Ahw6GbRob5VETs0bY0KG6U2Sqvkkk8iHGjEjqSsNptkUi4SYOxv5emvdR/Zu5uclH0alG\ndRShNC/sUlDc3d0RGRmJS5cuIU9lw2uxWIwffvgBLVu2RFhYGABg1KhRkEql2K+yyJBEIsHBgwfh\n5+eHAczKeoRdwlZQ3N11p4k0O1TV3Qk16y0Mqh3qrVvKPT/0dfSqNqppKGM2qiLERhwMiSMbEVK1\naddOd/1E06auTtmegQPlokIpr+aLzdVQ2DJ//nzk5ubi3XffxeTJk+Hr64vjx4+jpKQE77zzDlo8\n/po0YMAAhIeHIzExERUVFejWrRvS0tJQVFSEFStWwFlX7oCwGwzNQ2loUG7fO2iQdv0EUO8cGxqU\nHWrfvsoVeQ3ZqNZP2AgK28hB1UY1CnJ2ltd2jPmlKg49emgPMdZlc++efJgx45e+yEn1I3P+vHLk\nGZPuI0FpvtitoPj5+WHLli34z3/+g5SUFNTV1aFr16748MMPMUTjk71y5UokJiYiPT0dR48eRVBQ\nEFavXo1h+hLehN2gb095iUQ+LJfp7Nh8Q//9d+XujGw6ekBdUAzZ6Io23NyUS88bsmloUApK//66\ni+uq1wPA9evKtcvYREGAcnQbwL79qvvaMx8n1VFezN+faB7YraAAclFZtmyZ0evc3NywYMECLFiw\nwAJeEZbEUMpLtR6gr1NV7VBVO0dTBcXLC+jXz7hNXZ3xqEnT5rfflAMF2ERBQNPaYooNswKBqm8t\nWsj/NTQo1xAjmgd2WUOxBWj0im1gKOXFRlBUO8fr15Wv2XaozAiyp59WP64JI1wymfJbu6F7qN5H\nddQ7myhIE7ZtYcatsI2cAKVg9OmjvqQNMxpfYywM4eCQoHCkpMTaHhCA4dWGGUEJDgbattVtr6sT\nbt8e6NJF/z11CQdbcTDFRpdvhmwEAm2b1q2VW/eyvQfbyEkVzeyxl5f8J0UozQsSFI4we0UQ1sVQ\nyuvmTflrfaO1AP0dvb6CNKC7EzaUitJ3H0N+6bLp2FG+OZgpNkOGaK/fZcwvPsSRBKV5Ytc1FGvC\nzKbWRCIB7t6VDyetq5OnK+rr5T9FIvmMYplM+dPQaz2rxhAqZGcrX6umvFThIiiG0LQRCORL1htC\nU4RCQvRHTfruY8wvxoZtikyXX1xtNCMUrikviUQ+MOL+fbmt6r/GRvnnQyqVX6frNdfPTFM/a/bw\nWX08Rc+skKBw5McfgYQE+X/8khLlv5s3tXfYIyyDaoSiiqHOnkuHqtnRh4bKU0um2LARB03fuNhw\niZxMtREKga5d1Y+xiVBu3ZLv8piTIx94cOWKfNkXZhkXwv4gQeFIVRWwZIm1vSAYevaUb22r2dl5\necnnlOhD83pPT/k2uYbQlVYyBtdooyk2Li7qe5OwuUevXsDjnR1Y2wwbpp0i1CcoUimwfz+wcaP6\nki2EY0CCwhNt2sjz20FB8n8dOsjnC7i7y/+5ucn/OTkp97pQ/afvmC1iqL5gDZyc5LO0nZ21v6EP\nHqx/9BOg+3pdC0KqwkVQNCdJsrFRXdLeywt44gnjNqrP5sknlaknfajOGQG4CZ2u6VzMfWtq5Okg\ngUA+z+eVV+T7zWjSsqV88ECHDvKIp21beZs9PeX/PDzkz8XJSf7MmM+R6u9cPjOm/F829f+9rX1O\nrl8HHi/UbjZIUDiSnCwXkYAAuZBo7mpHWAdNgTBW22DTOWqiKTjDhxu30VzHNCTEuI1qZ29sWDLD\n4zVPWfulWcfRt8KwKm3aqP+u62/GvK9UKt+s7No1+eZmzMZlgHxr4alTgWeflY+qs7UO2NEwVrPj\nAxIUjoSEyHPnhG2h2ekaE5RWrdR/j4w0fo/H+7sp0Kwf6EI1Qhk4kF3nqdpxDxpk/HpAPrlSdW8S\nY2hu7MXGRnMZF10pwsBA5evkZGDpUuDRI/nvI0cCmzbR58cRsdGkCkFwQzN6YDM0V1UQjAkQIO8I\nGSF6/XV24jBkiNK3d981fj0ATJgg/+nmxj5VMW6c/Ge7dvr3ZtF3nyFD2IljUJDyugULdKcUVVdd\nnj9fKSazZsk3CiMxcUwoQiEcCs3UEpvtblavBj7+GFi8WP86Waq0aiVfpiQ7W95BsmHAAPlQ89pa\ndqIFAC++KF8S389PPjmTDR9/LI8ywsKUhXFj7N0rX0KFTV0HkIvwr7/KR2fpi+h0+fvKK8C2bYZr\nWoR9Q4JCOBSPt8EBAMTFsbOZNYu9MDD0769773hDsCmqa2IswtLExQWIjjbNxt0deP5502zatJHX\nRPQxZIg8NXb3rvz3114DNm+23YEmBD+QoBAORVSUPH8vkQArV1rbm+aLmxuQkiIXkeHDgblzqeje\nHCBBIRyKoCD5su0SifHhv4R5GTAA+OYba3tBWBISFMLhYOYnEARhWehj14xJSkqytgu84ShtcZR2\nAI7TFkdphyUgQWnGONIHxVHa4ijtABynLY7SDktAgkIQBEHwAgkKQRAEwQt2XZQvLi7G9u3bkZ+f\nDwAIDQ3F//3f/yFYY1aVWCzGd999h9TUVFRUVCAoKAhxcXGIZLPOBkEQBMEKu41Q/vzzTyxevBjX\nrl3DrFmzMGfOHNy4cQOLFy/GddXNwQGsWbMGu3btwuDBg7Fo0SJ4eXlh9erVSEtLs5L3BEEQjofd\nCsqePXsgEomwbt06zJgxA9OnT8f69eshFouxY8cOxXV5eXnIyMjAvHnz8MYbbyA6OhobNmxA7969\nsXXrVojFYiu2giAIwnGwW0H5888/0bp1a/To0UNxrEuXLhAKhWoRSlpaGpycnDBp0iTFMWdnZ0ye\nPBkPHjzAhQsXLOo3QRCEo2K3gtK2bVtUVlbi4cOHimN1dXWoqKiAr8oKgYWFhQgMDIS3xqp/TJ2l\nqKjIMg4TBEE4OHYrKLGxsXBxccEHH3yAK1eu4MaNG/joo4/Q2NiIGTNmKK4rLy+Hv44lZ/0e73N6\nl1m9jiAIgmgSNjfKKzExEQ0NDXrPt2zZEjNmzEC/fv3w9ttvY82aNZg/fz4AQCAQYMmSJRikshtR\nbW0t3N3dtd6HOVZfX2+Sf4xvV65cMcnOFqmsrFSMkLN3HKUtjtIOwHHa4ijtYPosQ/1rU7E5QUlK\nSg9btuwAABOWSURBVIJIJIJMJtN5XigUYsaMGdi/fz82b96Mp556CuPGjYNUKsWxY8fw6aefQiwW\nK2om+t6HOe5k4qJPZWVlAKBWk7Fn+vbta20XeMNR2uIo7QAcpy2O0g5A3odpTq3gC5sTlJSUFKPX\nlJeX48svv0RYWBjWr1+vOD569GgsW7YMX3zxBcLDwxEQEAAPDw+IRCKt92AiE09PT5P8CwsLw4cf\nfoh27dqhBS1nSxCEndDQ0ICysjKE6dqzmSdsTlDYUFhYiMbGRozRscdpVFQUzp8/j7y8PIwdOxZC\noRDl5eVa192/fx8AdNZXDOHt7Y1hw4Zxc5wgCMKKmCsyYbDLorzg8U49EolE6xxzjElpBQcH49at\nW6itrVW7jhnd1atXL3O6ShAE0WywS0Hp168fXF1d8eOPP6KxsVFxXCqV4scff4SzszP6P96fddSo\nUZBKpdi/f7/iOolEgoMHD8LPzw8DBgywuP8EQRCOiPPcuXNXWdsJU3F3d4eHhweOHTuGs2fPQiwW\no6CgAF988QXy8/Mxe/ZsRVqqffv2KC4uxo8//ojKykpF/aWgoABLlixBt27drNwagiAIx0Bw6tQp\n3cOg7ICsrCzs3bsXV65cgUwmQ7du3RATE4Nnn31W7TqRSITExESkp6ejuroaQUFBmDVrFtVCCIIg\neMSuBYUgCIKwHeyyhkIQBEHYHiQoBEEQBC+QoBAEQRC8YJcTG61BeXk5tm/fjvPnz0MkEqFPnz54\n9dVX1ZbPt0XefPNN5OXlaR13d3dXW5Xg+++/x6FDh1BWVoaAgADExMRgwoQJlnRVi927d+N///sf\nDh8+rPM8W58LCgrw9ddfo7i4GC4uLhgyZAheffVV+Pj4mLsJAAy34/jx41i3bp1Ou1WrViEiIkLx\nuzXbkZeXh507d6KwsBANDQ3o3Lkzpk6dirFjx6pdZw/PhE1b7OG5lJSUKHasFYvF6NevH+bNm6c1\nedGSz4QEhQXV1dVYsmQJHj58iJiYGHh7e2P//v1YvHgxtm7diqCgIGu7qJdr167hySefxLhx49SO\nu7goH/22bduwd+9ejBo1CtOmTcO5c+fw2Wef4dGjR5g5c6alXQYAZGdn45tvvoGHh4fO82x9Lioq\nQnx8PNq3b4+5c+eiuroa+/btQ3FxMbZs2QJXV1ertuPatWtwdnbG22+/rXVOddKtNdtRUFCA+Ph4\nCIVCxMXFwd3dHenp6Vi7di3u37+vWN3bHp4J27bY+nMpLS3FokWL4OrqitjYWLi6uuLAgQNYtGgR\nPv/8c4WPln4mJCgsSE5Oxs2bN7Fx40b069cPADBixAjMmTMHX331FT766CMre6ib+/fvo6qqCoMG\nDcLo0aN1XlNaWop9+/YhKioKS5cuBQBER0dj1apV2LlzJ6KiotT2lzE3MpkMBw8exJYtW3SuhGCq\nz9u2bYOnpyc+//xztGzZEoC8Q3j33Xdx6NAhTJ061WrtAOQdV8eOHfU+HwZrtQMANm7cCB8fH2zb\ntk2xr9DEiROxePFi/Pe//8ULL7yAqqoqm38mbNvi7e1t88/lm2++QX19PTZv3qz4Qjty5EjMnDkT\niYmJWLdunVU+J1RDYUFaWhp69uypEBNAvp/KiBEjkJ2djerqait6p59r164BkO9kqY/09HTIZDJM\nmTJF7XhMTAwaGhqQmZlpThe1WLhwITZt2oSBAweiZ8+eOq9h6/O9e/eQm5uL0aNHKz4kAPDMM88g\nMDAQaWlpVm0HAFy/fh2dO3c2+F7WbEd1dTWuXLmCoUOHqm1S5+TkhMjISIjFYhQXF9vFM2HbFsD2\nn4uzszMiIyPVsiO+vr7o1KmT4nNvjWdCgmKE6upq3Lp1CyEhIVrngoODIZFIbHZvFGYrZEZQ6urq\ntK4pKiqCq6ur1ooBTHstvaNleXk5li5dijVr1uhNE7H12dB6bcHBwbh69arB6KEpsGlHZWUlKioq\nFM9HLBbr9Mea7fD09MTOnTsxe/ZsrXPMbqlOTk528UzYtsUenss777yD5cuXqx2rq6vD7du3ERAQ\noPDP0s+EUl5GYFYqNrTrI7NHiq1x7do1CAQCJCUlITU1FdXV1fDx8cHEiRMxe/ZsODk5oby8XNEO\nVVxdXeHt7W3xHS337NkDZ2dng9ew9dnQs2vbti0kEgnu37+Pdu3a8eC5OmzawQj+n3/+iXnz5qGk\npAROTk4YPHgwFi1ahPbt2wOwbjucnJwQGBiodbyurg4pKSlwc3NDSEiIXTwTtm1hOlhbfi6qVFZW\n4vr160hMTER9fT3mzJmj8M/Sz4QExQjMKsV87vpoKa5fvw6ZTIaSkhLEx8dDJpMhLS0NO3bsQGlp\nKf75z3+itrZW7zdoNzc3i7fNWCcMgLXPNTU1AHQ/Ozc3NwDme3Zs2sGkJn777Te8+OKLCAwMxO+/\n/459+/Zh0aJF2LZtG9q2bWvVduhCKpVi3bp1ePjwIWbOnAkPDw+7eCa60NUWe3sub731liJLMnny\nZMWCt9Z4JiQoRtC346PqOWY5fVsjOjoadXV1mDZtmuLYyJEjsWrVKqSmpmLixIkG2weYvqOlJWDr\ns60/u5CQEMyaNQvjx49XfPsLDw9H7969sXz5cuzYsUPxRUAflm6HVCrF+vXrkZmZiSeeeELxbdge\nn4m+ttjbc3nppZfg4uKC7OxsHDx4EH/99RfWrVtnlWdCgmIERuF17frIHPPy8rKoT2x54YUXdB6f\nNGkSMjMzceHCBXh6euodVFBfX2/yjpaWgPlGrAtVn5lnp+vblS08u9DQUISGhmodDw8PR7t27XDx\n4kUAttMOsViMjz76CFlZWejduzc++eQTRSRmb8/EUFvs7bmMGDECADBs2DB4e3tj7969OHPmDOvP\nNp/tsL2vnzaGUCgEIB8JoQlzzNRdH60NM1GptrYWAQEBqKio0LpGJBKhpqbGJtsmFAoVO26qoumz\nsWfn6upqscmNptK6dWtFB20L7aiursayZcuQlZWFJ598Ehs2bFD7smFPz8RYWwxha89Fk5EjRwIA\niouLWX+2+WwHCYoRvLy80KFDB52jnYqKiuDs7GxwWKi1KC8vx7x587B161atcyUlJQCAwMBABAcH\nQyQS4caNG2rX2PKOlmx9ZmYMM0NBVSkuLkaPHj1Y1TrMxb/+9S/Mnj1bawSNRCLBrVu3FAVka7ej\nvr4e77zzDi5duoSIiAisW7dOKzdvL8+ETVts/bnU1dVh9uzZ2LBhg9Y51ZqvNZ4JCQoLRo4ciaKi\nIly+fFlx7N69e8jIyMCwYcN0FrOsjb+/P2pra3H8+HE8ePBAcVwkEuG7776Du7s7hg8fjsjISAgE\nAiQnJ6vZJycnw83NTW2JCVuBrc/+/v7o27cvTpw4gaqqKsV1Z8+eRWlpqdFJa+bG398fN2/exPHj\nx9WO79u3DzU1NRgzZoziOmu2Y9OmTSgoKMCoUaPw/vvvq62ywGAvz4RNW2z9uXh4eMDDwwOnTp1S\nG4UplUqxd+9eCAQChIeHW+WZ2OWOjZamZ8+eSE9Px/HjxyGRSPDHH38gISEBEokEK1asQKtWrazt\nok6CgoJw9OhRZGRkoLGxEQUFBdi4cSOuX7+OpUuXIjQ0FD4+Pnj06BEOHTqEmzdvoqqqCrt27UJW\nVhZeeeUVDBw40Gr+Hzt2DBUVFXjppZfUjpvic+fOnXHo0CFkZWUBAH755Rds2bIF3bp1w+LFiy0S\noehrR69evZCRkYH09HQ8fPgQd+/eRVJSEpKTkzFw4EAsXLhQUQy1VjtKSkqwYcMGuLq6YsKECSgp\nKcG1a9fU/rVq1Qrt27e3+WfCti0DBgyw+ecSHByMH3/8ERkZGWhoaEBxcTG2bt2K3NxczJ49GyNH\njrTK54Q22GLJ3bt38eWXX+L8+fMA5IW7+fPn2/wWwjk5Ofjuu+9QVFQEgUCA4OBgxMXFYdCgQYpr\npFIpdu/ejSNHjuD+/fsIDAxETEwMoqOjrei5fGHLq1ev4tChQ1rnTPH50qVLikXvWrZsiWeeeQZ/\n+9vfLJbfNtSOiooKfP3118jOzkZVVRUCAgIwZswYzJgxAy1atLB6O3744Qds3LgRAoFA52gggUCA\nDz74AEOHDrX5Z2JKW2z9uQDydcm+/fZb5OfnQyKRoHv37pg6daqijgJY/nNCgkIQBEHwAtVQCIIg\nCF4gQSEIgiB4gQSFIAiC4AUSFIIgCIIXSFAIgiAIXiBBIQiCIHiBFockHIZvv/0WO3bsMMkmISEB\nx44dw4kTJ/Dmm2/qXVDT1pDJZHj77bchkUjw6aefWtWXf//737h06RK+/PJLxXLnRPOEBIVwGLp3\n765YFoOhoqICv/76q2KpGU18fX0hEAhsdgsCfXz//fe4ePEi/vOf/1jbFfztb3/DzJkzsXXrVrzx\nxhvWdoewIjSxkXBocnNzER8fD6FQiP/97386r6moqEBNTQ3atGmjtte4rVJWVoY5c+bgueees5kO\nPCkpCV9++SU2btyIvn37WtsdwkpQDYVo9vj6+qJTp052ISYAkJiYCLFYjBdffNHariiYMGECPD09\nsW3bNmu7QlgRSnkRzZ61a9dq1VCYY1999RWKi4uxf/9+/PXXX/Dy8sLw4cOxYMECuLm54cCBAzh8\n+DBKS0sV6z299NJLWovpicViJCcnIz09HTdv3oSLiwt69uyJyZMnm7Sic3l5OVJTUzFgwADFPhaa\n7eDDZ5FIpNio6datW5DJZOjYsSMiIiIwdepUrVqJm5sbRo8ejR9++AF5eXno37+/qY+BcABIUAjC\nAF9//TXOnTuH0NBQDBw4EHl5eTh8+DDu378PLy8vnDx5Ev369UNgYCDOnz+PxMREPHz4EK+//rri\nPaqrq7F06VIUFxfDx8cHTz75JKRSKfLy8pCXl4dp06ZhwYIFrPw5ceIEpFIphg0bZjafZTIZli9f\njgsXLsDf31/h76VLl/Cf//wHv/76KxISErTuO2TIEPzwww84evQoCUozhQSFIAyQk5ODjz/+GOHh\n4QCAP/74AwsWLMDZs2fh7u6OzZs3IyQkRHHt22+/jZSUFPz9739XfOPftGkTiouLMXz4cLzzzjuK\nDZ3u3LmDZcuWYd++fejbt69BkVD1B4DBDrupPl++fBkX/r+9+3mJqovjOP4ecRRNchh0SPyxiBRF\nMRP8gSGGiKtaVODGjUWaKLhRguwfMEWColyYuxYVkgt3MggKgRplAxqJG5Vxk+PkiDI0qPMsBi/P\nMDrjgzPPpH5em4F77r3zvbO43zn33HO+375RVlbGwMCAcR0ej4eOjg4cDgfz8/PcuHEj6HuvX7+O\nyWTi69evJ/595XzRGIpIGNXV1caNGQK1cXJzc4HAuMHhjRmgoqKC1NRUfD6fUU7V5XJht9uxWCxB\nyQQCpVe7uroAeP/+fcRYfD4fi4uLmM1m8vLyYhbzYSlfq9Ua9BgsPT2dnp4enjx5YlQt/LekpCSy\ns7PZ3Nw0qoLKxaIeikgYRUVFIdssFgtra2tcu3YtpC0tLQ2v14vP5wPA4XDg9/spLCwMKTULUFZW\nRmJiIktLS/z58yfsPA63283+/j42m42EhOP/C5425pKSEhITE5mcnGRnZ4fa2loqKyuNx1/hZGVl\n4XQ62djYCJv05HxSQhEJI9ybXycpPPTr1y8gUAGvvr7+2P1MJhMul4vs7Oxj99na2ooYU6T2k8Sc\nmZlJb28vg4ODzM3NMTc3BwSq+tXW1nLnzh0yMzOPPPbSpUsAQWWn5eJQQhEJ47QlXA8ODoDAzbig\noCDsvklJSWHb9/f3gz6PE42ys7du3aKqqorPnz8zMzPD9+/fWV1dZXV1ldHRUfr7+4+cb3J4vZFi\nlPNJCUUkhjIyMgC4evUqT58+PdW5Ll++DAQGx/8PKSkpNDQ00NDQAAQG99++fcuXL18YGRnhxYsX\nIccc9qIOY5WLRYPyIjFUWloKBMZSvF5vSLvT6aSlpYVnz55F/Fd/5coVEhIS8Hg8Me0BfPz4kaam\nJiYmJoK25+fn09bWBgTmwxxlc3MTk8lkvAQgF4sSikgMZWVlcfPmTdxuN8+fP2d3d9do297epq+v\nj7W1NdLT0yM+qjKbzRQVFbG3t8fPnz9jFnNeXh4ul4t3797hdruN7X6/H7vdDkBhYWHIcR6Ph/X1\ndSwWCzk5OTGLT/5eeuQlEmV+f/DyeN3d3ayvrzM9Pc38/DwFBQXGfA+v10t+fj6dnZ0nOndNTQ2L\ni4s4HA6Ki4tjEnN1dTV1dXVMTU3R3NxMSUkJKSkprKys4HQ6sVqtPHr0KOQcDofDiFEuJvVQ5MI7\narXhcCsQ/9c2i8XC69evefjwITabjYWFBX78+EFOTg7t7e28fPnSeDsqksbGRsxmM9PT06eOK1xb\nb28vbW1t5ObmsrCwwOzsLAcHB9y/f5/h4eGQZV8AI6bbt2+f6Frk/NFqwyJnzKtXrxgbG2NoaCho\nkmI8bW1t0dTURHl5OX19ffEOR+JEPRSRM6a5uZnk5GQ+ffoU71AM4+Pj7O3t8eDBg3iHInGkhCJy\nxlitVlpbW7Hb7SwvL8c7HH7//s2HDx+4e/fuX9NjkvhQQhE5g+7du0dFRQVv3ryJdyiMjIxgs9l4\n/PhxvEORONMYioiIRIV6KCIiEhVKKCIiEhVKKCIiEhVKKCIiEhVKKCIiEhVKKCIiEhVKKCIiEhVK\nKCIiEhX/AOrPq+k6o7mNAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x3999390>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H2>Postsynaptic cell</H2>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "postsynaptic=simple_cell('post')\n",
      "postsynaptic.name()\n",
      "# remove active conductances\n",
      "postsynaptic.gnabar_hh = 0\n",
      "postsynaptic.gkbar_hh = 0"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H3>Synaptic mechanism</H3>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# insert a synapse as in Jonas et al., 1993\n",
      "mysyn = h.Exp2Syn(0.5, sec=postsynaptic) \n",
      "mysyn.tau1 = 0.2 # tau onset ms\n",
      "mysyn.tau2 = 2.5 # tau decay ms\n",
      "mysyn.e = 0.0 # in mV"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<H3>NetCon</H3>"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "netcon = h.NetCon(presynaptic(0.5)._ref_v, mysyn)\n",
      "netcon.threshold = 0\n",
      "netcon.delay = 2.5 # conduction velocity\n",
      "netcon.weight[0] = 300e-6 # 300 pS"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# prepare simulation\n",
      "v_post = h.Vector()\n",
      "v_post.record(postsynaptic(0.5)._ref_v)\n",
      "h.run()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "0.0"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig1 = figure(1)\n",
      "ax1 = fig1.add_subplot(211)\n",
      "ax1.plot(time, v_pre)\n",
      "ax1.legend(['presynaptic'])\n",
      "#ax1.plot(time, v_post)\n",
      "\n",
      "ax2 = fig1.add_subplot(212)\n",
      "ax2.plot(time, v_post);\n",
      "ax2.set_ylim(ymin = -67)\n",
      "ax2.legend(['postsynaptic']);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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MCZMzZ87kvHy5EPD09OT58+ds27YNGxsbQPJbenl5ce/ePfbu3UtsbCzDhw+nT58+fPHF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\nAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x3a4f090>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# Hold in V-Clamp postsynaptically\n",
      "VC_patch = h.SEClamp(0.5, sec=postsynaptic)\n",
      "VC_patch.amp1 = -70 # in mV\n",
      "VC_patch.dur1 = h.tstop"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# prepare simulation \n",
      "i_post = h.Vector()\n",
      "i_post.record(VC_patch._ref_i)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "1.0"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "h.run()\n",
      "fig2 = figure(2)\n",
      "ax3 = fig2.add_subplot(211)\n",
      "ax3.plot(time, v_pre)\n",
      "ax3.legend(['presynaptic'])\n",
      "ax3.set_ylabel('Voltage (mV)', fontsize=14);\n",
      "\n",
      "ax4 = fig2.add_subplot(212)\n",
      "ax4.plot(time, np.array(i_post)*1000,'r');#transform in pA\n",
      "\n",
      "ax4.legend(['postsynaptic']);\n",
      "ax4.set_ylim(ymin=-170, ymax=-80);\n",
      "ax4.set_ylabel('Current (pA)', fontsize=14);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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R0dH88ssvVKtWTQ5nExMTQ4MGDXKcq0pL8OjRoxeuj6D40IeFU5hO2lBrd9Tr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\nIXikMCngODg4MGfOHKKiovj999+5ceMGhYWFeHt789xzz9G7d2+LlS6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       "text": [
        "<matplotlib.figure.Figure at 0x3a4fe90>"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}